Large enterprises are typically thought of as hidebound defenders of the status quo, dominating by market power and brute force rather than technological and innovative prowess.Yet reality is far more complicated than this simple small versus big distinction. So, which is it? They require the formation of large-scale innovation ecosystems.

I recently participated in MIT’s 2010 Systems Thinking Conference for Contemporary Challenges. This annual conference is sponsored by Systems Design and Management (SDM) - an interdisciplinary program between MIT’s School of Engineering and Sloan School of Management. Political leaders blame recession on corporate fraud or terrorism.

Our panel included Denis Cortese - CEO and President of the Mayo Clinic ; Ronald Paulus - Chief Technology and Innovation Officer at the Geisinger Health System ; Chris Coburn - Executive Director of Innovations at the Cleveland Clinic ; and Armando Ahued Ortega - Health Secretary of Mexico City. The fact is we don’t have a system.

But, they do not work so well when dealing with highly complex systems with fast changing, interacting components, where it is much less clear what is going on in the present, let alone how things will evolve into the future. What do we mean by applying design principles to complex, unpredictable, people oriented systems and problems?

When I look back over my long, relatively eclectic career, complex systems have been a common theme in all the activities I’ve been involved in. It started in the 1960s, when I was an undergraduate and graduate student at the University of Chicago majoring in physics, - the study of complex natural systems. Let me explain. Amazing.

In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. players, is an example of such a system. Let me explain. .
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'In the first week of October I participated in a Cognitive Systems Colloquium hosted by IBM at its Thomas J. IBM defines cognitive systems as “a category of technologies that uses natural language processing and machine learning to enable people and machines to interact more naturally to extend and magnify human expertise and cognition.
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When I was a kid, my mother taught in the same school system, and had access to my text scores. What’s f *d up about identity is that every site and service has its own identity system. Every system has its own namespaces, and getting different systems’ namespaces to work together is very very hard.
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Tweet Here is a graphic of Moore’s technology adoption curve. Inspired by Jane Hart , this is my view of the current state of the learning technologies industry: The Late Majority and Laggards are focused on meeting their compliance needs. Some are considering open source (OS) as an option to their costly systems.
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I was reminded of this dictum when recently attending a very interesting workshop, Payment Technologies: Past Present and Future. The workshop was sponsored by UC Irvine’s Institute for Money, Technology and Financial Inclusion (IMTFI). It is part of UC Irvine’s School of Social Sciences. . participated in a panel at the workshop.
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